ndarray.js (1712B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2020 The Stdlib Authors. 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 'use strict'; 20 21 // MODULES // 22 23 var dvarianceyc = require( './../../../base/dvarianceyc' ).ndarray; 24 var sqrt = require( '@stdlib/math/base/special/sqrt' ); 25 26 27 // MAIN // 28 29 /** 30 * Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer. 31 * 32 * @param {PositiveInteger} N - number of indexed elements 33 * @param {number} correction - degrees of freedom adjustment 34 * @param {Float64Array} x - input array 35 * @param {integer} stride - stride length 36 * @param {NonNegativeInteger} offset - starting index 37 * @returns {number} standard error of the mean 38 * 39 * @example 40 * var Float64Array = require( '@stdlib/array/float64' ); 41 * var floor = require( '@stdlib/math/base/special/floor' ); 42 * 43 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); 44 * var N = floor( x.length / 2 ); 45 * 46 * var v = dsemyc( N, 1, x, 2, 1 ); 47 * // returns 1.25 48 */ 49 function dsemyc( N, correction, x, stride, offset ) { 50 return sqrt( dvarianceyc( N, correction, x, stride, offset ) / N ); 51 } 52 53 54 // EXPORTS // 55 56 module.exports = dsemyc;